TalentsToday

Senior Sales (Growth) Manager_Germany

We help leading brands embed autonomous, AI‑powered agents into their workflows, processes, products and services so they can scale faster and operate smarter.

Built on a strong automation heritage, we focus on seamless integration of AI intoenterprise level organization, not just proving concepts, but owning outcomes and driving value in every industry we are present. At Roboyo, you’ll join a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence.

In this role, you’ll focus on winning new clients and expanding our footprint in key industries. At the same time, you’ll manage and grow existing accounts (approx. 50% baseline business), ensuring long-term success and strong customer relationships.

Qualifications

•  ~ 3–5 years of experience in B2B sales with a focus on IT services or SaaS, ideally with experience to AI-related solutions
• Proven success in new business development and account management.
•  Proven track record of prospecting and building robust pipelines
• Ability to pitch value propositions into new market verticals, backing RPFs/POEs with data to maximize margin uplift for prospective clients.
• Solid understanding of digital transformation and intelligent automation.
• Experience with platforms like Microsoft, UiPath, Parloa or Celonis is a plus.
• Strong communication, negotiation and presentation skills at C-Level.
• Self-starter with ambition, a winning mindset, and a passion for growth.
• Confident visionary with experience motivating others around Automation and Agentic AI wherever they set foot.
• Sales expertise and coaching: a hunter with business acumen within a consultative approach, willing to mentor and train other team members.
• Fluent in German & English
• 
  In addition to:
   
• 30 days of vacation, flexible & hybrid work setup, and great offices in the center of Munich or Nuremberg.
• Regular team events, Urban Sports Club or Sodexo benefits, JobRad, and company pension scheme.
• International projects, global mobility (work abroad temporarily!), and, if needed, relocation support

 Growth, feedback, appreciation, and a team culture you won’t forget anytime soon.

Sounds like your kind of challenge? Then let’s shape the future together!

Location - Armenia

Duration - 6+ months
Start Date - ASAP

About the Role

We are looking for a skilled Machine Learning Engineer to join a long-term project focused on building and improving ML-driven products. The ideal candidate has strong hands-on experience with production ML systems, LLMs, and generative AI technologies, and is comfortable working independently in a fast-paced environment.

Requirements

• 3+ years of experience in applied Machine Learning in production environments
• Strong experience with:
  • LLMs
  • Generative AI
  • Embeddings
  • NLP
• Basic experience with Computer Vision / image generation
• Strong Python skills (APIs, pipelines, deployment)
• Experience working with data from multiple and diverse sources
• Ability to evaluate and measure model quality
• Product-oriented mindset with focus on business outcomes, not only ML metrics

• High level of ownership and independence

   

Nice-to-Have Skills

• Experience with content or ad generation systems
• Reverse-engineering of ML-based products
• Model fine-tuning
• MLOps experience (logging, monitoring, experiment tracking)

Senior AI Engineer
An AI consulting group that builds serious, production-grade systems for companies ready to operationalize artificial intelligence across their business. We do not build gimmicks. The main focus is on custom AI solutions that integrate directly into operations and drive measurable results.
 

We’re looking for a Senior AI Engineer for one of our clients  - an AI consulting group that builds production-grade systems for companies ready to operationalize artificial intelligence across their business. This is a hands-on role for someone who doesn’t just experiment with AI, but has built, deployed, and optimized real AI systems in complex, production environments.

This role is for someone who takes full ownership of AI systems - from architecture to performance. You’ll work at the intersection of LLMs, distributed data processing, and backend systems, building scalable AI pipelines and knowledge systems in a high-impact environment where performance, reliability, and flexibility (including airgapped deployments) matter.

Your responsibilities will include:

• Design and build distributed data pipelines (Apache Beam, Python) for large-scale document and model processing;
• Implement horizontally scalable LLM-powered extraction workflows across thousands of entities;
• Build runner-agnostic pipelines that run across multiple environments (local, cloud, on-prem);
• Design and implement entity resolution and cross-referencing systems with confidence scoring;
  Architect and build graph-based Knowledge Bases (Dgraph or similar), including schema design and query optimization;
• Develop pluggable LLM extractor frameworks (classification, relationships, completeness, document linking);
• Build abstraction layers for LLM providers (Anthropic Claude, Google Gemini, local models via Ollama/vLLM);
• Optimize LLM usage for cost, latency, and reliability in production environments;
• Design and implement backend service layers (Go-based APIs) connecting AI pipelines with agent systems;
• Ensure observability, debugging, and performance monitoring across distributed AI systems;
• Package and deploy systems using Docker (docker-compose, containerized environments);
• Collaborate directly with client teams on integrations, validation, and production rollout.

What we expect from you:

• 5–8+ years of experience in AI Engineering, Data Engineering, or Applied ML Infrastructure;
• Expert-level Python;
• Strong experience with distributed processing frameworks (Apache Beam preferred; Spark/Flink acceptable);
• Hands-on experience integrating LLMs in production (prompting, orchestration, provider abstraction);
• Experience with graph databases (Dgraph, Neo4j, JanusGraph, or similar);
• Strong understanding of distributed systems, parallel processing, and large-scale data pipelines;
• Solid SQL and data modeling fundamentals;
• Experience with Docker and containerized deployments;
• Experience with cloud platforms (GCP preferred, AWS/Azure acceptable);
• Strong backend/system design mindset (performance, scalability, reliability);
• Ability to work independently and take ownership without micromanagement;
• Strong problem-solving skills in complex, ambiguous environments;
• English level: B2+ (C1 preferred);
• Availability to overlap with US business hours.

Our Customer offers:
- Four-month full-time contract engagement;

- Remote work with overlap in US business hours;

- High-impact project with direct influence on production AI systems;

- Close collaboration with client’s product and engineering teams;

- Opportunity to build core infrastructure for real-world AI applications — not prototypes.